Principal Software Engineer - Kubernetes Platform

Engineering | Bengaluru, India | Remote, Remote | Full-Time

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Working at Atlassian India

Atlassian's mission "to unleash the potential of every team" is the guiding light behind what we do. Our products, including Jira, Confluence and Bitbucket, help teams everywhere work better together, from NASA to Cochlear.

Our office is in Bengaluru, but eligible candidates can work remotely across India: from home, from an office, or somewhere in between. We call this TEAM Anywhere.

Your future team: KubePlat Team

The KubePlat group in Core Engineering owns Atlassian's entire Kubernetes ecosystem. Every Atlassian cloud product, including Jira, Confluence, Loom and Rovo, runs on the clusters, platform services and deployment systems we build and operate. Our mission is to provide Atlassian a secure, reliable, cost-efficient and globally distributed compute platform, as the foundation for building great products.

What we own

* Kubernetes infrastructure: hundreds of production clusters (EKS and GKE) across AWS, GCP and regulated cloud environments.

* Fleet management: automated, cloud-agnostic lifecycle management for clusters and platform components, with safe progressive rollouts.

* Kubernetes Platform-as-a-Service: an opinionated, multi-tenant platform for running Atlassian's microservices.

* Cloud resource management: self-serve, Kubernetes-driven provisioning of the cloud resources that services depend on.

* Secure sandboxed compute: strongly isolated environments for running untrusted code and AI-agent workloads.

* Software delivery: artifact management, deployment orchestration and automated verification for thousands of deployments every day.

* AI/ML infrastructure: the GPU compute, high-bandwidth networking and parallel filesystem ecosystem on Kubernetes that powers model training and AI inference behind Atlassian's AI features.

We are in the middle of a major transformation: moving to a multi-cloud, cell-based architecture, meeting FedRAMP and data-residency requirements, and building a reliable, cloud-native foundation for AI training and inference at scale.

As a Principal Engineer, you will set the technical direction for Atlassian's Kubernetes, compute and AI/ML infrastructure platform. You will lead engineers across several teams on our hardest problems, and take large, cross-team initiatives from design to launch.